scholarly journals Correlation between Individual Dietary Diversity Score and Nutrients Adequacy Ratio in the Rural Community

2021 ◽  
Vol 1 (4) ◽  
pp. 258-263
Author(s):  
Indresh Kumar ◽  
Madhulika Gautam
Keyword(s):  
Rural Community ◽  
Diet Quality ◽  
Rural Areas ◽  
Dietary Diversity ◽  
Food Groups ◽  
Dietary Diversity Score ◽  
Minimum Quantity ◽  
Nutrient Adequacy ◽  
The Individual ◽  
The Relationship

Dietary diversity indicators can serve as a proxy for diet quality and have shown an association with Dietary diversity indicators can serve as a proxy for diet quality and have shown an association with nutrient adequacy at the individual level; it is positively correlated with indicators of micronutrients adequacy in several types of study. The main objective of this study is to examine the nutrient adequacy ratio and its relationship with the individual dietary diversity score in the rural community. The relationship between individual dietary diversity score and nutrients adequacy was assessed with and without the minimum quantity food groups intake restriction. Data was collected through the 24 hours dietary recall schedule and dietary diversity questionnaire by applying 24 hours recall method in randomly selected 491 individuals from the rural areas of Uttar Pradesh state of India. Individual dietary diversity score was measured using the nine food groups system, suggested by Food and agriculture organization, US. An analysis of the relationship with sixteen nutrients was assessed through the Microsoft excel data analysis functions. It was found that iron and niacin intake had moderate-positive co-relation with individual dietary diversity scores, and a weak positive correlation with calcium, thiamine, riboflavin, vitamin-A, potassium, zinc, protein, vitamin-C, folates were found with no minimum quantity intake of the food groups. A negative correlation between sodium, phosphorus, and magnesium intake was noted; and there was no correlation noted with fat and energy. After fixing the minimum intake quantity of the food groups, the relationship between the dietary diversity score and the nutritional accuracy was strengthened. The association of micronutrients with the Individual Dietary Diversity Score was shown to be strong after applying minimum 15 grams intake quantity restriction of the food groups.

scholarly journals Do lifestyle interventions affect dietary diversity score in the general population?

2009 ◽  
Vol 12 (10) ◽  
pp. 1924-1930 ◽  
Author(s):  
Nizal Sarrafzadegan ◽  
Leila Azadbakht ◽  
Noushin Mohammadifard ◽  
Ahmad Esmaillzadeh ◽  
Morteza Safavi ◽  
...  
Keyword(s):  
Lifestyle Intervention ◽  
Diet Quality ◽  
Rural Areas ◽  
Dietary Diversity ◽  
Economic Status ◽  
Evaluation Studies ◽  
Food Group ◽  
Food Groups ◽  
Dietary Diversity Score ◽  
Urban And Rural Areas

AbstractObjectiveThe dietary diversity score (DDS) is a good indicator of diet quality as well as of diet–disease relationships; therefore, the present study was undertaken to reveal the effect of a lifestyle intervention on this index.DesignA baseline and three evaluation studies were conducted in two intervention districts (Isfahan and Najaf-Abad) and a reference area (Arak), all located in central Iran. The Isfahan Healthy Hearth Programme (IHHP) targeted the entire population of nearly 2 million in urban and rural areas of the intervention communities. One of the main strategies of the lifestyle intervention phase in the IHHP was healthy nutrition. Usual dietary intake was assessed using a forty-nine-item FFQ. A diversity score for each food group was calculated and the DDS was considered the sum of the diversity scores of the food groups.ResultsThere were significant increases in DDS in both intervention areas (P = 0·0001) after controlling for confounding factors. There was a significant interaction between area and evaluation stage with regard to DDS (P = 0·0001). The effect of the intervention on the diversity scores of all food groups was also significant (P = 0·0001 for all) after adjusting for socio-economic status.ConclusionThe community-based lifestyle intervention in the IHHP was successful in improving DDS which might be related to an increase of diet quality of the population that in turn might decrease the risks of chronic diseases.

scholarly journals Breastfeeding and the Risk of Illness among Young Children in Rural China

2019 ◽  
Vol 16 (1) ◽  
pp. 136 ◽  
Author(s):  
Shanshan Li ◽  
Ai Yue ◽  
Cody Abbey ◽  
Alexis Medina ◽  
Yaojiang Shi
Keyword(s):  
Rural Areas ◽  
Dietary Diversity ◽  
Rural China ◽  
Shaanxi Province ◽  
World Health ◽  
Asia Pacific ◽  
Food Groups ◽  
Health Organization ◽  
The Relationship ◽  
Specific Food

Poor rural areas in China exhibit the country’s highest rates of child mortality, often stemming from preventable health conditions such as diarrhea and respiratory infection. In this study, we investigate the association between breastfeeding and disease among children aged 6–24 months in poor rural counties in China. To do this, we conducted a longitudinal, quantitative analysis of socioeconomic demographics, health outcomes, and breastfeeding practices for 1802 child–caregiver dyads across 11 nationally designated poverty counties in southern Shaanxi Province in 2013–2014. We found low rates of continued breastfeeding that decreased as children developed: from 58.2% at 6–12 months, to 21.6% at 12–18 months, and finally to 5.2% at 18–24 months. These suboptimal rates are lower than all but one other country in the Asia-Pacific region. We further found that only 18.3% of children 6–12 months old met the World Health Organization (WHO)-recommended threshold for minimum dietary diversity, defined as consuming four or more of seven specific food groups. Breastfeeding was strongly associated with lower rates of both diarrhea and cough in bivariate and multivariate analyses. As the first analysis to use longitudinal data to examine the relationship between continued breastfeeding and child illness in China, our study confirms the need for programmatic interventions that promote continued breastfeeding in order to improve toddler health in the region.

Variability in Selected Indexes of Overall Diet Quality

1999 ◽  
Vol 69 (6) ◽  
pp. 419-427 ◽  
Author(s):  
Kant ◽  
Graubard
Keyword(s):  
Diet Quality ◽  
Interindividual Variability ◽  
Dietary Diversity ◽  
Dietary Assessment ◽  
Intraindividual Variability ◽  
Food Groups ◽  
Assessment Protocol ◽  
Nutrient Adequacy ◽  
Special Diet ◽  
Health Related

We examined the intra- and interindividual variability in selected measures of overall diet quality in relation to socio-demographic, lifestyle, and health-related characteristics. Three days of dietary data from the Continuing Survey of Food Intakes by Individuals (CSFII), 1989–91 (7841 respondents, 3337 men and 4504 women, aged ≥ 19 years), were examined. Measures of overall diet quality were: 1. the Dietary Diversity Score (DDS), a measure of variety among the major food groups; 2. the Overall Variety Score (OVS), examined the number of nutrient-dense foods reported; and 3. the Nutrient Adequacy Score (NAS100), evaluated the number of nutrients consumed at least at the level of the RDA from a total of 11. The ratio of intra- to interindividual variance for DDS, OVS, and NAS100 was 1.66, 1.09, and 1.21, respectively, indicating higher intraindividual variability relative to interindividual variability. For each of the three scores, gender, income, education, and smoking were associated with greater intraindividual variability; however, age, and special diet status were associated with lower variability. Thus, the reliability of a given dietary assessment protocol for evaluating “usual” diet quality is likely to vary by the socio-demographic and lifestyle characteristics of the study population.

scholarly journals The study of dietary diversity score in children between 6 months to 23 months: a hospital based study

2018 ◽  
Vol 5 (3) ◽  
pp. 1053 ◽  
Author(s):  
Divya N. ◽  
Rajanish K. V. ◽  
Malavika J. ◽  
Aarti Sharma
Keyword(s):  
Nutritional Status ◽  
Dietary Diversity ◽  
Strong Predictor ◽  
Feeding Practices ◽  
Well Being ◽  
Physical Growth ◽  
Food Groups ◽  
Dietary Diversity Score ◽  
Nutrient Adequacy ◽  
Nutritional Status Of Children

Background: Dietary diversity is a qualitative measure of food consumption that reflects household access to a variety of foods and is also a proxy for nutrient adequacy of diet of individual. Breast-feeding and complementary feeding practices are fundamental to children’s survival and development. Feeding practices have an impact on physical growth, which is one of the best indicators of children’s well-being. However, the relation between the quality of feeding practices during early age and nutritional status are difficult to establish, and, depending on the context and overall living conditions, the influence of feeding factors on children’s nutritional status can vary considerably. This study helps us to assess the dietary diversity score by simple food count method which is a good indicator of adequate micronutrient intake.Methods: The study was a retrospective study conducted on babies between 6 months to 23 months of age presenting in Paediatric outpatient Department. Data was collected by 24-hour recall method for 3 days and an average.Results: 30% of subjects had weight for age below 2 SD and 8% had length for age below 2 SD. Dietary diversity Score of 1and 6 in 8%, 2 in 48%, 3 and 5 in 6%, 4 in 24% was noted. The average scoring was low among 6-9 and10-12 months and it increased between 13-23 months. With increase in age there was increase in dietary diversity score and vice versa.Conclusions: Limited diversity in complementary foods is a strong predictor of the nutritional status of children. Inclusion of a variety of food groups may be more essential to improve child’s nutritional status.

scholarly journals A Novel Food-Based Diet Quality Score Is Associated with Nutrient Adequacy and Reduced Anemia Among Rural Adults in Ten African Countries

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 1381-1381
Author(s):  
Sabri Bromage ◽  
Yiwen Zhang ◽  
Michelle Holmes ◽  
Wafaie Fawzi ◽  
Sonia Sachs ◽  
...  
Keyword(s):  
Diet Quality ◽  
Dietary Diversity ◽  
Dietary Assessment ◽  
Food Group ◽  
Quality Score ◽  
Food Groups ◽  
Nutrient Intakes ◽  
African Countries ◽  
Novel Food ◽  
Nutrient Adequacy

Abstract Objectives We aimed to develop and evaluate an easily-tabulated metric that is sensitive to diet quality in diverse settings. In this analysis, we examined associations between a novel food-based metric – the Global Diet Quality Score (GDQS) - and diet quality using data from rural Africa. Methods The GDQS gives points for higher intake of 16 healthy food groups and lower intake of 9 unhealthy groups, based on 3 intake ranges for each group. We scored the GDQS using food frequency questionnaire (FFQ) data from 1613 men and 1710 nonpregnant nonlactating women ages 15–49 (median: 30) in 12 rural African villages participating in the Millennium Villages Project in 2006 to 2009. We evaluated associations between the GDQS and nutrient intakes calculated from the same FFQ, body mass index (BMI), mid-upper arm circumference (MUAC), hemoglobin, and an overall nutrient adequacy score ranging from 0 to 7 (1 point given for each of 7 nutrients meeting average requirements). Associations were also derived for GDQS submetrics (GDQS+ and GDQS−) computed using only healthy or unhealthy food groups, respectively, and simplified versions of the GDQS and submetrics (scored using 2 intake ranges for each food group). Results Moderate rank correlations were observed between the GDQS+ and energy-adjusted intakes of fiber (women: 0.43, men: 0.33), folate (0.40, 0.30), vitamin A (0.40, 0.34), and zinc (0.38, 0.30), exceeding correlations with the Minimum Dietary Diversity Score for Women (p for difference between metrics <0.05 for fiber and folate in both sexes). The simplified GDQS- correlated moderately with energy-adjusted saturated fat intake (women: 0.35, men: 0.29). Rank correlations between the GDQS+ and overall nutrient adequacy score differed notably by country (range: 0.34–0.75), but not by age or season. Adjusting for age, interview month, and household size, the GDQS and GDQS+ were associated with hemoglobin and anemia (p for difference between metrics >0.05): women and men in the highest GDQS+ quintile had an OR of anemia of 0.25 (95% CI 0.09, 0.68) and 0.16 (95% CI 0.04, 0.46), respectively, relative to those in the lowest. Metrics were not associated with BMI or MUAC in adjusted analyses. Conclusions The GDQS and submetrics were associated with nutrient intakes, hemoglobin, and reduced anemia in rural African adults. Funding Sources Intake - Center for Dietary Assessment at FHI Solutions.

scholarly journals The Relationship Between Dietary Diversity Among Women of Reproductive Age and Agricultural Diversity in Rural Tanzania

2019 ◽  
Vol 41 (1) ◽  
pp. 50-60 ◽  
Author(s):  
Alexandra L. Bellows ◽  
Chelsey R. Canavan ◽  
Mia M. Blakstad ◽  
Dominic Mosha ◽  
Ramadhani A. Noor ◽  
...  
Keyword(s):  
Crop Production ◽  
Dietary Diversity ◽  
Reproductive Age ◽  
Baseline Survey ◽  
Food Groups ◽  
Women Of Reproductive Age ◽  
Dietary Diversity Score ◽  
Agricultural Diversification ◽  
Rural Tanzania ◽  
The Relationship

Background: Agriculture can influence diets through consumption of home-produced foods or increased purchasing power derived from sale of agricultural commodities. Objective: This article explores cross-sectional relationships between agricultural diversification and dietary diversity (a proxy for micronutrient adequacy) among women of reproductive age in rural Tanzania. Methods: Dietary diversity was measured using the women’s minimum dietary diversity score indicator. Data were analyzed from the baseline survey of a cluster randomized control trial in Rufiji, Tanzania. One woman of reproductive age was randomly surveyed from each eligible household, totaling 1006 individuals. Generalized linear mixed-effects models were used to estimate the relationship between agricultural indicators and dietary diversity. Results: Median dietary diversity score for women was 3.00 (interquartile range: 2-3). Approximately 73% of households grew at least 1 crop in the previous year. Women’s dietary diversity score was positively associated with cropping diversity ( P for trend = .04), ownership of livestock (adjusted coefficient: 0.30; 95% confidence interval [CI]: 0.08-0.44; P = .005), cash crop production (adjusted coefficient: 0.22; 95% CI: 0.03-0.41; P = .02), and production of pulses (adjusted coefficient: 0.50; 95% CI: 0.27-0.74; P < .0001) and other vegetables (adjusted coefficient: 0.64; 95% CI: 0.11-1.17; P = .02). Conclusions: Average dietary diversity is well below the recommended 5 food groups per day, a widely used indicator of micronutrient adequacy. Since the majority of households participate in agriculture, the efforts to promote agricultural diversification and/or specialization and sale of agricultural goods may positively influence dietary diversity and associated health and nutrition outcomes.

scholarly journals A Comparative Study on the Diet Quality of Pregnant Women in Urban and Rural Settings in a South-Western District of Bangladesh

2019 ◽  
pp. 1-6
Author(s):  
Eyad Ahmed ◽  
Israt Jahan ◽  
Md. Asadul Islam
Keyword(s):  
Pregnant Women ◽  
Diet Quality ◽  
Rural Areas ◽  
Dietary Diversity ◽  
Food Groups ◽  
Significant Difference ◽  
Medium Quality ◽  
Quality Diet ◽  
The Mean

Purpose: The current study aimed to assess the diet quality of urban and rural pregnant women in a south-western district (Jashore) in Bangladesh. Methodology: It was a cross-sectional study which was conducted among pregnant women (Sample size, N= 154). The respondents were selected from urban and rural areas of Jashore district. Data was collected through a pre-tested questionnaire comprising of socio-demographic and economic data, data on different food groups consumption. The data concerning food consumption was used to assess the diet quality of the respondents. For statistical analysis, IBM SPSS Statistics version 21.0 was used in the study. Results: Among all the respondents, mean Dietary Diversity Score (DDS) was 5.40±0.96. It was also seen that minimum DDS was 3.0 and maximum DDS was 7.0 among all the pregnant women. A significant difference was observed between the mean DDS of urban and rural pregnant women (P < .05). The mean DDS of urban pregnant women was 6.46±0.19 and mean DDS of rural pregnant women was 4.61±0.56. Moreover, about 62% of urban respondents’ diet quality was of high level, 27% of urban respondents’ diet was of medium-quality and about 11% of urban respondents were found to have low diet quality. On the other hand, only 18% of rural respondents had high diet quality, 57% had a medium-quality diet and about 25% of rural pregnant women were found to have a low diet quality.  Conclusion: It can be concluded from the study that the majority of the urban pregnant women of the study area had a higher quality diet than their rural counterparts.

scholarly journals Dietary diversity score is related to obesity and abdominal adiposity among Iranian female youth

2010 ◽  
Vol 14 (1) ◽  
pp. 62-69 ◽  
Author(s):  
Leila Azadbakht ◽  
Ahmad Esmaillzadeh
Keyword(s):  
Dietary Diversity ◽  
Cross Sectional Study ◽  
Female Students ◽  
Abdominal Adiposity ◽  
Food Groups ◽  
Department Of Agriculture ◽  
Cross Sectional ◽  
Dietary Diversity Score ◽  
Diet Variety ◽  
The Relationship

AbstractObjectiveTo assess the relationship between diet and disease, consideration of whole-diet indices may be more informative than single-nutrient intake. The present study was conducted to report the relationship among dietary diversity score (DDS), obesity and abdominal adiposity among female university students.DesignCross-sectional study.SettingIsfahan, Iran.SubjectsA representative sample of 289 healthy female students aged 18–28 years was selected randomly from Isfahan University of Medical Sciences, Iran. Usual dietary intake was assessed using a validated semi-quantitative FFQ. DDS was calculated according to the scoring of the five food groups based on the US Department of Agriculture Food Guide Pyramid. This is a score of diet variety, and shows the diversity of the consumed diet. Participants were categorised on the basis of quartile cut-off points of DDS. Potential confounders such as age, total energy intake and physical activity were considered in all the analyses.ResultsThe means (sd) of BMI and waist circumference were 25·9 (sd 5·1) kg/m2 and 85·5 (sd 14) cm, respectively. The probability of obesity decreased with quartiles of DDS (OR among quartiles: 1·00, 0·41, 0·31 and 0·21, P = 0·03; this was the same for abdominal adiposity: 1·00, 0·55, 0·36 and 0·21, P = 0·02). Those in the lowest quartile of the DDS had the highest risk for being overweight.ConclusionsThere were inverse associations among DDS, obesity and abdominal adiposity among the female students of Isfahan University. Further prospective investigations are needed to confirm this finding.

Diet Quality Among Older Quebecers As Assessed By Simple Indicators

2003 ◽  
Vol 64 (4) ◽  
pp. 174-180 ◽  
Author(s):  
Bryna Shatenstein ◽  
Sylvie Nadon ◽  
Guylaine Ferland
Keyword(s):  
Nutrition Education ◽  
Diet Quality ◽  
Older Persons ◽  
Dietary Diversity ◽  
Food Groups ◽  
Dietary Adequacy ◽  
Dietary Variety ◽  
Dietary Diversity Score ◽  
Critical Data ◽  
Representative Subset

To determine whether older Quebecers are eating adequately and whether summary scores represent diet quality, a representative subset of participants aged 55 to 74 (weighted n=460, 47% male) was studied from the 1990 Enquête québécoise sur la nutrition dataset. Participants’ diet quality was scored from adjusted 24-hour recalls. Foods were coded into Canada's Food Guide to Healthy Eating food groups. Usual Dietary Adequacy Score (maximum=18) and Dietary Diversity Score (maximum=4) were calculated from adjusted food guide portions and validated internally in relation to achievement of nutrient recommendations using correlation analysis. Average usual Dietary Adequacy Score (mean ± standard error) was 14.96 ± 0.15 (men) and 13.72 ± 0.15 (women). Only 7% of men and 1% of women achieved the maximum usual score. Fortyfour percent of men and 45% of women scored a usual Dietary Diversity Score of 3, and 55% of men and 50% of women achieved 4. Thus, approximately half of older Quebecers showed inadequate dietary variety, and consumed fewer than the minimum recommended number of servings from certain food groups. Summary diet quality indicators are useful for tracking diet quality, and provide critical data for planning nutrition education programs targeting older persons.

scholarly journals Factors That Determine the Dietary Diversity Score in Rural Households: The Case of the Paute River Basin of Azuay Province, Ecuador

2021 ◽  
Vol 18 (4) ◽  
pp. 2059
Author(s):  
Otilia Vanessa Cordero-Ahiman ◽  
Jorge Leonardo Vanegas ◽  
Christian Franco-Crespo ◽  
Pablo Beltrán-Romero ◽  
María Elena Quinde-Lituma
Keyword(s):  
River Basin ◽  
Rural Areas ◽  
Dietary Diversity ◽  
Well Being ◽  
Food Groups ◽  
Dietary Diversity Score ◽  
Head Of Household ◽  
Food And Nutrition ◽  
Food Expenditure ◽  
Fish And Shellfish

Inadequate food and nutrition affect human well-being, particularly for many poor subpopulations living in rural areas. The purpose of this research was to analyze the factors that determine the Household Dietary Diversity Score (HDDS) in the rural area of the Paute River Basin, Azuay Province, Ecuador. The sample size of 383 surveys was determined by a stratified random sampling method with proportional affixation. Dietary diversity was measured through the HDDS, with 12 food groups (cereals; roots and tubers; fruits; sugar/honey; meat and eggs; legumes or grains; vegetables; oils/fats; milk and dairy products; meats; miscellaneous; fish and shellfish) over a recall period of 7 days. A Poisson regression model was used to determine the relationship between the HDDS and sociodemographic variables. The results show that the average HDDS of food consumption is 10.89 foods. Of the analyzed food groups, the most consumed are cereals; roots and tubers; fruits; sugar/honey. In addition, the determinants that best explain the HDDS in the predictive model were housing size, household size, per capita food expenditure, area of cultivated land, level of education, and marital status of the head of household. The tools used in this research can be used to analyze food and nutrition security interventions. Furthermore, the results allow policymakers to identify applicable public policies in the fight against hunger.

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